Smoothing parameter selection method for multiresponse nonparametric regression model using smoothing spline and Kernel estimators approaches [PDF]
Journal of Physics: Conference Series, 2019 The principle problem in multiresponse nonparametric regression model is how we estimate the regression functions which draw association between some dependent (response) variables and some independent (predictor) variables where there are correlations ...
Fatmawati Fatmawati +7 more
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Generalized Cross Validation (GCV) in Smoothing Spline Nonparametric Regression Models
Journal of Physics: Conference Series, 2021 A nonparametric regression model is utilized if the the regression curve does not contain information about the accepted shape and accepted curve is exist in a function.
M. Maharani, D. R. S. Saputro
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Spline estimator and its asymptotic properties in multiresponse nonparametric regression model [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 In applications, we often meet the problem where more than one response variable is observed at several values of predictor variables, and these responses are correlated with each other.
Budi Lestari +2 more
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Frontiers in Earth Science, 2023 This study investigated the effects of various seasonal fitting techniques on the spatial distribution of the common mode errors taking the coordinate time series of the continuous GPS reference stations of the Crustal Movement Observation Network of ...
Peiyu Miao +7 more
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Smoothing spline analysis of variance approach for global sensitivity analysis of computer codes
Reliability Engineering and System Safety, 2013 Daniel Busby
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Journal of the Electrochemical Society, 2020 Conventional state of health (SOH) estimation often requires capacity measurement from battery's full charge or discharge profile between fully charged state and cut-off state. Incremental capacity analysis can improve estimation efficiency by extracting
C. Lin +4 more
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Penalized spline estimator with multi smoothing parameters in bi-response multi-predictor nonparametric regression model for longitudinal data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 Penalized spline estimators that depend on a smoothing parameter is one type of estimator used in the estimation regression curve in nonparametric regression.
Anna Islamiyati, Fatmawati, Nur Chamidah
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Bayesian analysis for quantile smoothing spline
Statistical Theory and Related Fields, 2021 In Bayesian quantile smoothing spline [Thompson, P., Cai, Y., Moyeed, R., Reeve, D., & Stander, J. (2010). Bayesian nonparametric quantile regression using splines.
Zhongheng Cai, Dongchu Sun
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Five-Axis Tool Path Smoothing based on Cubic B-Spline Curves [PDF]
한국정밀공학회지, 2020 In CNC machining, NC data created by CAM software is usually linearly interpolated. This linearly interpolated tool path, however, may degrade the dynamic motion performance of the machine tool and the geometric accuracy in comparison with the reference ...
Keewoong Ahn, Sungchul Jee
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A new method for finding the optimal smoothing parameter for the abstract smoothing spline
Journal of Approximation Theory, 2010 A. I. Rozhenko
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